MMD two-sample test has been extensively studied [1]}, [2]}, [3]}, [4]}, [5]}, [6]}, though it is, to the best of our knowledge, the first time a similarity function trained via contrastive learning is used in conjunction with MMD. [7]} uses MMD with a deep kernel trained on a fraction of the samples to argue that CIFAR10 and CIFAR10.1 have different test distributions. We build upon that work by confirming their finding with higher confidence levels, using fewer samples.
